The data needs of today’s enterprises continue to evolve and to keep up, many IT organizations are turning to hyperconverged infrastructure (HCI). The benefits of HCI, which include rapid deployment, reduced physical space requirements, and streamlined infrastructure, match perfectly with the immediate priorities of IT organizations looking to modernize legacy systems to increase agility, improve the management experience, and simplify scalability.
Times they are a-changing! The dust may be settling a bit as companies are adjusting to a distributed enterprise, which takes on a whole new meaning from what we knew three months prior. IT leaders are reflecting on the quick decisions that were made and are starting to develop strategies beyond a temporary pivot. Business leaders had their business continuity strategies tested and are finding out just how resilient their business is. Business is moving, and sure it looks a little different than how it did a short time ago, but IT resiliency is now the topic of discussion.
Given the changes impacting security, connectivity, scaling virtual infrastructure, supporting a remote workforce, shifting to the cloud, navigating supply chain constraints (the list goes on), IT leaders are looking to the future for next gen technologies with steadfast requirements of flexibility, agility, efficiency, and as you will see in this week's theme of the blog post—resiliency.
Picture the following. You are lying in the intensive care unit of an area hospital having just gone through the ordeal of major open-heart surgery. The IC medical staff is depending on medical IoT devices to monitor you. Question, do you feel better having your collected data make the journey across the Internet for analysis at a distant cloud location, or analyzed in near instant fashion at the hospital itself where the medical staff is?
The rise of cloud technology enabled organizations to shift computing-power and data storage from private data centers to public cloud environments. The transition to the cloud facilitated vast amounts of data to be accumulated and manipulated in a centralized way; however, widespread use of the Internet of Things (IoT) has created new data processing requirements. It does not make sense to centralize massive amounts of raw data gathered by IoT sensors, so edge computing seeks to fill this need by decentralizing and distributing computing resources.
The interconnected worlds of today see increased access to more things at faster speeds. Wireless networking made these processes even faster, with IT administrators able to add more storage space, computing power, and other capabilities at the push of a button.
